• Title/Summary/Keyword: Personalized exercise information

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Resource Management for O2O based Coach Matching (O2O기반 코치 매칭을 위한 자원관리)

  • Kim, Jiyeon;Kim, Jae Chul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.318-320
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    • 2022
  • The people who is returning to the community after hospital treatment are faced with the choosing where to proceed with rehabilitation exercise with an appropriate exercise specialists based on the current health condition of them. It is required to supprot a personalized exercise rehabilitation service (hereinafter referred to as ARES system) in the community based on individual disease information and health conditions based on hospital clinical data. In this study, we designed a resource management system for online-to-offline (O2O) based coach matching to improve accessibility with facilities and coaches for exercise rehabilitation in the community.

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Stduy on Personal Exercise Algorithm and Information Sharing Analysis System (개인 맞춤형 운동 알고리즘과 정보공유분석 시스템 연구)

  • Kang, Suk-hun;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.237-240
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    • 2015
  • Individual's body is different depending on the body type or growing environment. In particular, recent changes in the way the movement toward a healthy 100-year-old range. But the purpose of the exercise, each person, gender, age, physical condition and how this movement should be applied according to analysis, to be studied. In this paper, we share information through this exercide method by online, and provide personalized workout, and an algorithm for research analysis. This study will be the cornerstone of research by combining biotechnology and IT to contribute to the health of the people 100 years old.

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RBAC-based health care service platform for individual recommended health information service (RBAC에 기반한 개인 맞춤형 건강 정보 제공 헬스케어 서비스 플랫폼)

  • Song, Je-Min;Kim, Myung-Sic;Jeong, Kyeong-Ja;Shin, Moon-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.3
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    • pp.1740-1748
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    • 2014
  • In this paper, we propose an RBAC based personalized health care service platform in order to provide smart management of personal health record using smart devices. It helps to guide healthful service and provide useful information according to one's individual health record. Personalized health care services platform supports a healthy lifestyle by measuring personal health information in a hospital clinical, imaging, and drug data, as well as that can be obtained from smart devices. Everyone can enter his health related data in everyday life such as food, sleeping time, mood, movement and exercise so that one can manage his personal health information of modern smart features. In addition, if necessary, personal health information can be provided to the hospital information system and staff with the consent of the individual. It can be contributed to simplify the complex process for remote medical. The proposed platform, which applies role based access control model to protect security and privacy, supports a smart health care services for users by providing personalized health care services through the smart applications.

Personal Training Suggestion System based on Hybrid App (하이브리드 앱 기반의 개인 트레이닝 추천 시스템)

  • Kye, Min-Seok;Jang, Hyeon-Suk;Jung, Hoe-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.6
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    • pp.1475-1480
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    • 2014
  • Wellness is IT fused with the user manage and maintain the health of a service can help you. If you are using an existing Fitness Center to yourself by choosing appliances that fit with the risk of injury in order to learn how the efficient movement had existed for a long time was needed. To resolve, use the personal training but more expensive cost of people's problems, and shown again in the habit of exercising alone will have difficulty. This paper provides a variety of smart phones based on a hybrid app with compatibility with the platform and personalized training market system. Users of the Fitness Center is built into smart phones in the history of their movement sensors or transmits to the Web by typing directly. This is based on exercise programs tailored to users via the training market. Personal training marketplace has a variety of users, check the history of this movement he can recommend an exercise program for themselves can be applied by selecting the. This provides users with the right exercise program can do long-term exercise habits can be proactive and goal setting.

Development of Personalized Exercise Prescription System based on Kinect Sensor (Kinect Sensor 기반의 개인 맞춤형 운동 처방 시스템 개발)

  • Woo, Hyun-Ji;Yu, Mi;Hong, Chul-Un;Kwon, Tae-Kyu
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.593-605
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    • 2022
  • The purpose of this study is to investigate the personalized treacmill exercise analysis using a smart mirror based on Kinect sensor. To evaluate the performance of the development system, 10 health males were used to measure the range of the hip joint, knee joint, and ankle joint using a smart mirror when walking on a treadmill. For the validity and reliability of the development system, the validity and reliability were analyzed by comparing the human movement data measured by the Kinect sensor with the human movement data measured by the infrared motion capture device. As a result of validity verification, the correlation coefficient r=0.871~0.919 showed a high positive correlation, and through linear regression analysis, the validity of the smart mirror system was 88%. Reliability verification was conducted by ICC analysis. As a result of reliability verification, the correlation coefficient r=0.743~0.916 showed high correlation between subjects, and the consistency for repeated measurement was also very high at ICC=0.937. In conclusion, despite the disadvantage that Kinect sensor is less accurate than the motion capture system, Kinect is it has the advantage of low price and real-time information feedback. This means that the Kinect sensor is likely to be used as a tool for evaluating exercise prescription through human motion measurement and analysis.

Design and Implementation of Healthcare System for Chronic Disease Management

  • Song, Mi-Hwa
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.3
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    • pp.88-97
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    • 2018
  • Chronic diseases management can be effectively achieved through early detection, continuous treatment, observation, and self-management, rather than a radar approach where patients are treated only when they visit a medical facility. However, previous studies have not been able to provide integrated chronic disease management services by considering generalized services such as hypertension and diabetes management, and difficult to expand and link to other services using only specific sensors or services. This paper proposes clinical rule flow model based on medical data analysis to provide personalized care for chronic disease management. Also, we implemented that as Rule-based Smart Healthcare System (RSHS). The proposed system executes chronic diseases management rules, manages events and delivers individualized knowledge information by user's request. The proposed system can be expanded into a variety of applications such as diet and exercise service in the future.

An Implementation of Personalized Diet and Exercise Recommendation Application based on Android Platform (안드로이드 기반 개인 식단 및 운동 추천 애플리케이션 기능 구현)

  • Ihm, Sun-Young;Park, Young-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.1357-1358
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    • 2012
  • 최근 서구화된 식습관으로 비만과 성인병은 급격히 증가하고 있다. 체중 조절을 위해서는 알맞은 식단과 운동 계획을 세워 실행하는 것이 가장 쉽고 간단하게 할 수 있는 방법이다. 본 논문에서는 사용자의 신체 조건을 파악한 후 식단과 운동을 추천하고, 점검하는 어플리케이션인 Diet Secretary를 제안하고 구현하였다. 또한, Diet Secretary는 가상의 캐릭터 Dabi의 이야기로 사용자의 체중 조절에 대한 관심을 이끌어내고, 퀴즈를 통해 체중 조절이 잘 진행되고 있는지 점검한다.

Personalized Exercise Recommendation System using Collaborative Filtering and K-NN in R System (R에서 협업필터링과 K-NN을 이용한 개인 맞춤형 운동 추천 시스템)

  • Baeck, Su-Bin;Park, Doo-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.359-361
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    • 2022
  • 최근 질적인 삶의 중요성과 건강에 대한 필요성이 향상되면서 운동의 중요성에 대한 국민의 인지도가 증가했다. 체력적인 효과 심리적인 효과 면역효과 등 운동이 주는 많은 긍정적인 영향들로 인해 최근 건강관리에 대해 사람들의 관심이 많이 증가했으나 자신에게 알맞는 운동 방법을 알지 못해 정작 운동을 실천하는 수는 그 수의 절반뿐이다. 따라서 개인의 신체 알맞는 운동을 추천해 줄 수 있는 추천 시스템이 필요하다. 본 논문에서는 신장, 몸무게, 나이, 주당 운동 횟수, 성별과 같은 개인화 요소를 이용한 협업 필터링과 k-nn 을 R 시스템을 사용하여 사용자 개인 맞춤형 운동 추천 시스템을 제안한다.

Technical Trends in Intelligent Rehabilitation Services (지능형 재활 서비스 기술 동향)

  • B.S. Jeon;J.C. Kim
    • Electronics and Telecommunications Trends
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    • v.38 no.3
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    • pp.47-56
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    • 2023
  • Physical rehabilitation consists of exercises that help individuals who have suffered injury, disease, or nervous system disorders to recover lost or impaired functions. The exercises need to be tailored to the degree and type of the patient's condition. To this end, a comprehensive rehabilitation data delivery system that connects medical institutions and local communities should be established, and an intelligent rehabilitation service technology should be developed. An intelligent rehabilitation service integrates and manages the patient's health information provided by medical institutions and the overall function evaluation information measured in the community. Based on the collected data, personalized rehabilitation services can be provided. We examine supportive policies and technological trends for rehabilitation exercise and sports. Additionally, we investigate development trends and key technologies of intelligent rehabilitation services being developed at ETRI.

A Study on Development of Intelligent Personalized Rehabilitation Exercise Service System (지능형 개인맞춤 재활운동 서비스 시스템 개발에 관한 연구)

  • Han, Mikyong;Choi, Jiyoung;Kim, Jae Chul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.421-422
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    • 2021
  • 지역사회에서는 병원퇴원 후 경증장애인의 체력회복을 도와 일상생활로의 복귀를 지원하고 노인 등 취약계층의 건강유지 및 증진을 위한 저비용 개인맞춤형 재활운동 서비스 시스템이 요구된다. 특히, 병원과의 데이터 연계를 통해 개인의 건강상태, 질병에 따라 최적화된 재활운동이 관리될 경우, 효율적인 재활 및 2차 부상방지를 지원할 수 있다. 이에, 본 연구에서는 재활운동의 비용감소와 장애인 및 노인 등 취약계층의 운동재활 접근성(코칭/시설) 강화를 위한 O2O(Online-to-Offline) 연계 AI 기반 개인맞춤형 운동재활 서비스 시스템을 설계한다.